PSC Research Associate Duncan J. Watts and colleagues found that 17% of American rely on television news from left or right leaning sources. The study, "Quantifying Partisan News Diets in Web and TV Audiences" published in the journal Science Advances and featured in Penn Today.
Duncan Watts (PSC Research Associate) was featured in Penn Today about political polarization during informal political conversation. New research, published in the Proceedings of the National Academy of Sciences, explore how the mechanisms behind intra-group receptivity can be applied to anonymous, informal political communication. The study shows that, by fostering feelings of closeness through incidental similarities, those with strong beliefs on either end of the political spectrum can begin to converge upon more moderate views.
Penn Integrates Knowledge University Professor
Stevens University Professer
Ph.D., Cornell University, 1997
Duncan Watts is the Stevens University Professor and twenty-third Penn Integrates Knowledge University Professor at the University of Pennsylvania. In addition to his appointment at the Annenberg School, he holds faculty appointments in the Department of Computer and Information Science in the School of Engineering and Applied Science, and the Department of Operations, Information and Decisions in the Wharton School, where he is the inaugural Rowan Fellow.
Before coming to Penn, Watts was a principal researcher at Microsoft Research (MSR) and a founding member of the MSR-NYC lab. He was also an AD White Professor at Large at Cornell University. Prior to joining MSR in 2012, he was a professor of Sociology at Columbia University, and then a principal research scientist at Yahoo! Research, where he directed the Human Social Dynamics group.
His research on social networks and collective dynamics has appeared in a wide range of journals, from Nature, Science, and Physical Review Letters to the American Journal of Sociology and Harvard Business Review, and has been recognized by the 2009 German Physical Society Young Scientist Award for Socio and Econophysics, the 2013 Lagrange-CRT Foundation Prize for Complexity Science, and the 2014 Everett M. Rogers Award. He was named an inaugural fellow of the Network Science Society in 2018 and a Carnegie Fellow in 2020.